I am an Aerospace engineer by training with a Ph.D. in Kinesiology (Neuroscience, Biomechanics, and Space Life Sciences curricular tracks). My Ph.D. research was in the area of Biomechanics and Motor Control of human movement, particularly about human posture control and locomotion in healthy as well as special populations, such as the elderly, patients, and astronauts. As part of my Ph.D., I worked at NASA Johnson Space Center's Neurosciences lab on various projects related to sensorimotor control issues that astronauts face during and after spaceflight.
Currently, in the Precision Health and Integrated Diagnostics (PHIND) Center in the Dept. of Radiology of the Stanford School of Medicine, I am part of the Pervasive Wellbeing Technology lab, where I am helping with several studies around wellbeing and stress management in the wild carried out in an unobtrusive way using sensors that already exist, like computer mice, touchpad, steering wheel of a car, etc.
In the recent past, in the Dept. of Neuroscience of Baylor College of Medicine (BCM) in Houston, I worked on predicting stress response using fMRI and physiological signals in veterans with PTSD, using machine learning. I also worked at the inter-disciplinary consortium of advanced motion performance (iCAMP) of Dept. of Surgery of BCM, where I helped with data analyses of several clinical studies related to using different types of wearables for supervised or unsupervised monitoring of daily physical activities in different populations (like older adults, patients who have had a sternotomy, etc.).
Neuroscience, biomechanics, vestibular stimulation, balance and locomotion, artificial gravity, motor control, sensory systems, human performance, sports science, wearable devices, digital health
Non-invasive stimulation (TMS, GVS), non-invasive brain monitoring (EEG, fMRI), structural-MRI, EMG, Force & Motion sensors (e.g., accelerometers, gyroscope etc.), wearable sensors, MATLAB, C++, Python, signal processing, machine learning, statistical modeling, controls and programming, system identification, human factors, multi-sensory interactions